Utvidet returrett til 31. januar 2024

Predictive Analytics

- Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition

Om Predictive Analytics

In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. Delen's holistic approach covers all this, and more:Data mining processes, methods, and techniquesThe role and management of dataPredictive analytics tools and metricsTechniques for text and web mining, and for sentiment analysisIntegration with cutting-edge Big Data approachesThroughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780136738510
  • Bindende:
  • Paperback
  • Sider:
  • 448
  • Utgitt:
  • 19. januar 2021
  • Utgave:
  • 2
  • Dimensjoner:
  • 226x152x28 mm.
  • Vekt:
  • 690 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: Ukjent

Beskrivelse av Predictive Analytics

In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. Delen's holistic approach covers all this, and more:Data mining processes, methods, and techniquesThe role and management of dataPredictive analytics tools and metricsTechniques for text and web mining, and for sentiment analysisIntegration with cutting-edge Big Data approachesThroughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

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